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What should we do before we develop a new statistical model in hydrology or any other research domains ?

You have to follow the steps as given below before developing a numerical model from a given set of data : Outlier Detection -Chauvenet -Dixon Thompson -Rosner's Method Trend Detection -Runs Test Correlation Determination -Auto and Cross-Correlation Risk and Uncertainty -What is Risk and Vulnerability? -Weibull’s Method Click here, You may also like : HydroGeek: The newsletter for researchers of water resources https://hydrogeek.substack.com/ Baipatra VSC: Enroll for online courses for Free http://baipatra.ws Energy in Style: Participate in Online Internships for Free http://energyinstyle.website Innovate S: Online Shop for Water Researchers https://baipatra.stores.instamojo.com/ Call for Paper: International Journal of HydroClimatic Engineering http://energyinstyle.website/journals/ Hydro Geek Newsletter Edition 2023.1 https://notionpress.com/read/hydro-geek-newsletter-edition-2023-1 Introduction to Model Development for Prediction, Simulation, and Optimization. https://imojo...

Autocorrelation in Water Resource Development

A new article was posted in HydroGeek : Five Most Recent Research Works on Autocorrelation in Water Resource Management Autocorrelation is the correlation between two part of a single data series and is useful when the trendability of a parameter is approximated with the help of data. Most used in water research study. This article highlights the most recent research works on the application of autocorrelation on water resource development studies. Click here to read it in HydroGeek @Mrinmoy's Page @data_hydrology , @Merchandise or @ @products_sustainability Add to Listy /